The digital transformation is real! To adapt, IT professionals need to transform their own skillset to become more multi-dimensional by gaining both depth and breadth of a wide variety of knowledge and competencies. Historically, while IT has been built on a foundation of specialty (or “I” shaped) silos, the DevOps principle of “shifting left” is opening up opportunities for developers, operational staff, security and others to grow their skills portfolio, advance their careers and become “T”-shaped.

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Hackers took three days to identify and exploit a known vulnerability in Equifax’s web applications. I will share new data that reveals why three days (at most) is the new normal for DevSecOps teams to move new business /security requirements from design into production. This session aims to enlighten DevOps teams, security and development professionals by sharing results from the 4th annual State of the Software Supply Chain Report — a blend of public and proprietary data with expert research and analysis.Attendees can join this session to better understand how DevSecOps teams are applying lessons from W. Edwards Deming (circa 1982), Malcolm Goldrath (circa 1984) and Gene Kim (circa 2013) to improve their ability to respond to new business requirements and cyber risks.

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So the dumpster is on fire. Again. The site’s down. Your boss’s face is an ever-deepening purple. And you begin debating whether you should join the #incident channel or call an ambulance to deal with his impending stroke. Yes, we know this is a developer’s fault. There’s plenty of time for blame later. Postmortems have a macabre name because they were once intended to be Viking-like funerals for someone’s job. But we’re civilized now. Sort of. So we call them post-incident reviews. Fires are never going to stop. We’re human. We miss bugs. Or we fat finger a command – deleting dozens of servers and bringing down S3 in US-EAST-1 for hours – effectively halting the internet. These things happen.

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Cloud is the motor for innovation and digital transformation. CIOs will run 25% of total application workloads in the cloud by the end of 2018, based on recent Morgan Stanley report. Having the right enterprise cloud strategy in place, often in a multi cloud environment, also helps companies become a more intelligent business. Companies that master this path have something in common: they create a culture of continuous innovation.

In his presentation, Dilipkumar will outline the latest research and steps companies can take to make innovation a daily work habit by using enterprise cloud computing. I will share examples from companies that have benefited from enterprise cloud computing and take a look into the future of how the cloud helps companies become a more intelligent business.

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2018 is a year when many of the trends surrounding the Internet of Things (IoT) are expected to turn from hype to real results. Adoption continues at a brisk pace, and medium and large enterprises are increasingly finding themselves at decided advantages for bringing IoT systems into their infrastructures. At such a crucial turning point, it’s a good idea to take a look at five of the biggest trends that are expected to dominate this transformation process.

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For years the world’s most security-focused and distributed organizations – banks, military/defense agencies, global enterprises – have sought to adopt cloud technologies that can reduce costs, future-proof against data growth, and improve user productivity. The challenges of cloud transformation for these kinds of secure organizations have centered around data security, migration from legacy systems, and performance. In our presentation, we will discuss the notion that cloud computing, properly managed, is poised to bring about a digital transformation to enterprise IT. We will discuss the trend, the technology and the timeline for adoption.

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Today, we have more data to manage than ever. We also have better algorithms that help us access our data faster. Cloud is the driving force behind many of the data warehouse advancements we have enjoyed in recent years. But what are the best practices for storing data in the cloud for machine learning and data science applications?

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Most DevOps journeys involve several phases of maturity. Research shows that the inflection point where organizations begin to see maximum value is when they implement tight integration deploying their code to their infrastructure. Success at this level is the last barrier to at-will deployment. Storage, for instance, is more capable than where we read and write data. In his session at @DevOpsSummit at 20th Cloud Expo, Josh Atwell, a Developer Advocate for NetApp, will discuss the role and value extensible storage infrastructure has in accelerating software development activities, improve code quality, reveal multiple deployment options through automated testing, and support continuous integration efforts. All this will be described using tools common in DevOps organizations.

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When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the steps so your team’s apps not only function but also can be monitored and understood from their machine data when running in production.

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SYS-CON Events announced today that IoT Global Network has been named “Media Sponsor” of SYS-CON’s @ThingsExpo, which will take place on June 6–8, 2017, at the Javits Center in New York City, NY. The IoT Global Network is a platform where you can connect with industry experts and network across the IoT community to build the successful IoT business of the future.

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